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Proceedings Paper

Computational fluid dynamics and phase-contrast magnetic resonance of normal cerebral arteries
Author(s): Juan Cebral; Fernando Mut; Christopher Putman; Marcus Alley; Roland Bammer; Fernando Calamante
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Paper Abstract

Detailed knowledge of the hemodynamic conditions in normal cerebral arteries is important for a better understanding of the underlying mechanisms leading to the initiation and progression of cerebrovascular diseases. The goal of our research is to characterize the hemodynamic patterns in the major cerebral arteries of normal subjects using 4D phase-contrast magnetic resonance imaging (PC-MR) and image-based computational fluid dynamics (CFD), and to assess the consistency of the flow patterns determined by these two techniques. Time-resolved 4D PC-MR images of the cerebral arteries at the level of the Circle of Willis were acquired on three normal subjects and corresponding subject-specific CFD models were constructed. Visualizations of the flow fields show that qualitatively, the major flow structures, swirling flows, flow directions in communicating arteries, etc. observed in the PC-MR images and the CFD calculations are consistent. However, each technique has limitations that introduce differences between the corresponding flow fields. This paper discusses these differences in order to better interpret the results obtained with each technique, and to be aware of the regions along the arteries where each technique is expected to over simplify the velocity patterns or yield under or over estimations of the velocity and wall shear stress magnitudes.

Paper Details

Date Published: 27 February 2009
PDF: 8 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 726224 (27 February 2009); doi: 10.1117/12.810153
Show Author Affiliations
Juan Cebral, George Mason Univ. (United States)
Fernando Mut, George Mason Univ. (United States)
Christopher Putman, Inova Fairfax Hospital (United States)
Marcus Alley, Stanford Univ. Medical School (United States)
Roland Bammer, Stanford Univ. Medical School (United States)
Fernando Calamante, Brain Research Institute (Australia)

Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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